import pymysql
import pandas as pd
import pymysql.cursors

class MysqlUtils(object):
    """数据库工具类

    Args:
        _object (_type_): _description_
    """

    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd='root',
            db='tushare1',  
            port=3306,
            charset='utf8'
        )
class classIfication(object):
    """分类相关类

    Args:
        无
    """
    def __init__(self): 
        pass

    def get_fina_indicator(self, conn): 
        """获取财务数据"""
        cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)

        sql = """
        SELECT ts_code, ann_date, eps, total_revenue_ps, undist_profit_ps, gross_margin, fcff, fcfe, tangible_asset, bps, grossprofit_margin, npta 
        FROM financial_data 
        WHERE ann_date >= '2023-01-01' and ann_date <'2024-01-01'
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        df1 = df.dropna(subset=['eps', 'total_revenue_ps', 'undist_profit_ps', 'gross_margin', 'fcff', 'fcfe', 'tangible_asset', 'bps', 'grossprofit_margin', 'npta'])
        df1 = df1.reset_index(drop=True)

        return df1#print(df)
    def get_daily(self, conn, df):
        cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
        new_list = []
        for i in range(len(df['ts_code'])):
            ann_date_str = df['ann_date'][i].strftime('%Y%m%d')
            sql = "SELECT trade_date, closes FROM date_1 WHERE ts_code = \'" + df['ts_code'][i] +" \' and trade_date > Date(\' " + ann_date_str+ "\') order by trade_date asc limit 20"
            cursor.execute(sql)
            ret = cursor.fetchall()
            df1 = pd.DataFrame(ret)
            print(i)
            #break  # 注意：这里有一个break语句，意味着循环只会执行一次
            try:
                if len(df1) > 0:
                    max_close = df['closes'].max()
                    min_close = df['closes'].min()
                    the_close = df['closes'].iloc[-1]

                    new_list.append({
                        'ts_code': df['ts_code'][i],
                        'ann_date': df['ann_date'][i],
                        'max_close': max_close,
                        'min_close': min_close,
                        'the_close': the_close,
                        'eps': df['eps'][i],
                        'total_revenue_ps': df['total_revenue_ps'][i],
                        'undist_profit_ps': df['undist_profit_ps'][i],
                        'gross_margin': df['gross_margin'][i],
                        'fcff': df['fcff'][i],
                        'fcfe': df['fcfe'][i],
                        'tangible_asset': df['tangible_asset'][i],
                        'bps': df['bps'][i],
                        'grossprofit_margin': df['grossprofit_margin'][i],
                        'npta': df['npta'][i],
                    })
            except Exception as e:
                pass
        
        df2 = pd.DataFrame(new_list)
        df2.to_csv('daily.csv', index=False)

if __name__ == '__main__':
    mu = MysqlUtils()
    ci = classIfication()
    df = ci.get_fina_indicator(mu.conn)
    ci.get_daily(mu.conn, df)